- Details
- Category: Discipline
- MACHADO, A . M. ( org. dir. ), Dicionário de literatura portuguesa. Lisboa: Presença, 2006 FIGUEIREDO, O., Didáctica do Português Língua Materna - dos Programas de Ensino às Teorias, das Teorias às Práticas. Porto, Edições ASA, 2005 VASCO MOREIRA , HILÁRIO PIMENTA ; REVISÃO: MARIA ALDINA MARQUES, Gramática de Português - 3.º Ciclo do Ensino Básico e Ensino Secundário, Porto Editora, 2015
- Development for the Web and Mobile Devices
- 2010
- 11124
- Oral and Written Expression Techniques
- ISLA Gaia2010-11124
- 1
- 6
- 0
- 27
- Não
- Português
- Theoretical classes Practical classes with individual, pair and group work Frequent use of the learning platform Moodle to study contents given in class, do and submit exercises and work related to class. Continuous evaluation through informal observation of students Summative evaluation through evaluation tests.
- Mandatory
- Identify the differences between native language and general language Use the language as a social activity Understand what communicative competence is Understand and use principles that rule verbal communication Understand the difference between saying and implying Use proper language according to the context Identify specific details of oral language Be able to properly speak in public Prepare an adequate oral presentation Identify and understand the different parts of a sentence Dealing with problems regarding punctuation, accentuation, spelling and text processing Be able to write an adequate text according to context Understand the process regarding written communication Differentiate academic text from non-academic text Differentiate literary text from non-literary text Identify the main features of a paper Be able to write an adequate report
- 1. Language and communication Native language and general language Using language as a social activity Verbal language as a form of action Communicative competence Principles that rule verbal communication Saying and implying Using language according to the context 2. Oral communication Specific details of oral language Processes of oral communication Oral presentation -features Speaking in public Preparing an adequate oral presentation 3. Written communication Written production: features Sentence structure Sentence and paragraph Dealing with problems regarding punctuation, accentuation, spelling and text processing 4. Written communication processes Literary text and non-literary text Scientific article: features How to summarize a text Writing a report
Descrição Data limite Ponderação Apresentação Oral A definir 45% Teste escrito A definir 45% Atitudes A definir 10% - Semestral
- Develop comprehension, oral and writing skills Apply linguistic knowledge previously acquired Continue de study of the Portuguese language in order to improve it and adapt it to students personal and professional needs Interpret different types of texts Develop planning and preparation skills of different types of texts Produce oral and writing contents adequate to different contexts Acquire technics and methods in order to research, record and treat data
- Details
- Category: Discipline
- Correia, A.; Mesquita, A. (2013). Mestrados & Doutoramentos. Estratégias para a elaboração de trabalhos científicos: o desafio da excelência. Vida Económica Freixo, J. V. F. (2018). Metodologia científica. Fundamentos, métodos e técnicas. Lisboa: Instituto Piaget. Kerzner, Harold (2017). Project Management, A Systems Approach To Planning, Scheduling, And Controlling, John Wiley and Sons Ltd. Miguel, António (2019), Gestão Moderna de Projetos, FCA.
- IT for eCommerce
- 6616
- 24404
- Research and Investigation Methodologies
- ISLA Gaia6616-24404
- 1
- 4
- 0
- 27
- Não
- Português
- Teaching methodologies: The syllabus will be approached using an expository, active and interrogative methodology. To consolidate knowledge, pedagogical activities will be developed such as article analysis, critical reflection group work, practical exercises to simulate the various stages of a research process. Assessment methodology - continuous: Individual research work (report and presentation); 40% Research group work (report and presentation); 60% All students who have not successfully completed continuous assessment may submit a proposal for a research project or project work, at the assessment period defined by the institution.
- Mandatory
- Provide students with skills to prepare work supported by solid research structures; Encourage a culture of quality in research and encourage research from an early age; Make known the standards that a project report must comply with; Present the fundamental concepts necessary for scientific research and the dynamics of preparing scientific articles; Differentiate the phases of the research and investigation process; Exercise the ability to review adequate bibliography and plagiarism issues; Use bibliographic references and citation management tools. In the end, the student should be able to: Plan the preparation of reports and articles combining the theoretical and practical components of the research; Critically assess the role of research in the field of knowledge and in the field of know-how; Develop a project work with quality; Master the citation rules and bibliographic references.
- 1. Introduction 1.1. Nature and object of the course 1.2. Justification of its importance 1.3. Basic bibliography presentation 2. Science and Computer Science 2.1. The notion of science 2.2. Computer sciences and their place in the set of knowledge 2.3. Research and investigation methods and techniques 3. The logic of the investigation 3.1. Characteristics of scientific research 3.2. Stages of the scientific investigation process 3.2.1. The problematic 3.2.2. Rationale 3.2.3. Methodology 3.2.4. Data Collection and Analysis 3.2.5. Data processing software 3.2.6. The presentation of conclusions 4. The development of project work 4.1 The methodology of prototyping work 4.2 The stages of project work 5 Academic writing and plagiarism 5.1 The bibliographic research process 5.2 Description, evaluation and comparison of information 5.3 Exploring a Bibliographic References Management Tool
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Trabalhos de grupo
final do semestre
40%
Artigo short-paper + poster + apresentação
final do semestre
20% + 20% + 20%
(...)
Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
- Semestral
- The curricular unit Research Methods and Investigation aims to equip students with the fundamental competencies needed to understand, plan, and conduct studies with scientific rigor in the field of Informatics for Electronic Commerce. The unit covers techniques for data collection and analysis, problem formulation, hypothesis construction, and critical evaluation of sources, preparing students to develop projects, reports, market studies, and evidence-based technological solutions. By integrating critical thinking, scientific methodology, and applied research practices, this unit provides a foundational pillar for the students’ academic development and professional pathways.
- Details
- Category: Discipline
- Safety at Work Engineering
- 1181
- 505
- Mathematics II
- ISLA Gaia1181-505
- 1
- 6
- 0
- 27
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Business Management
- 1206
- 27875
- Financial and Non-Financial Analysis and Reporting
- ISLA Gaia1206-27875
- 2
- 6
- 0
- 27
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Berk, Jonathan e Peter DEMarzo: Corporate Finance (5th ed.), Person Education, 2019. Yan, Yuxing: Python for Finance (2nd ed.), Packt, 2017. Hilpisch, Yves: Python for Finance (2nd ed.), O´Reilly, 2018.
- Finance and Taxation
- 6806
- 25289
- Data Science for Finance
- ISLA Gaia6806-25289
- 1
- 6
- 0
- 27
- Não
- Português
- The course is structured in two main components that complement each other: theoretical and expository classes and practical and experimental classes. In the theoretical classes, the defined syllabus is explored, and students are invited to actively participate in the classes. In the practical classes, works are proposed with the use of the Python platform, for the application of the knowledge acquired in the theoretical classes.
- Mandatory
- This course introduces students to data science for financial applications using the Python programming language and a set of packages from its ecosystem. Objectives of the UC: Characterize data analysis to improve financial decision-making; Provide students with a basis for performing data analysis in research areas related to the financial sector and other areas not related to the financial sector.
- Description of contents: 1. Algorithm and data structure 2. Introduction to Python Programming 2.1. History and overview 2.2. Installation and versions 2.3. Data and variable types 2.4. Data list 2.5. Functions and cycles 3. Python Modules 3.1. Module overview and installation 3.2. Numpy, Scipy, Matplotlib, Statsmodels, Pandas 3.3. Other useful Python modules for finance 4. Data sources and data extraction output 4.1. Data sources (financial APIs, Excel file, text file) 4.2. Extracting data output to a text, csv and Excel file using Pandas Dataframe 5. Financial Applications 5.1. Net present value and internal rate of profitability 5.2. Stock price movements, profitability rate distributions 5.3. Bond Valuation 5.4. CAPM model and Beta coefficient calculation 5.5. Time series analysis 5.6. Portfolio theory 5.7. options 5.8. VaR and Expected Shortfall 5.9. Monte Carlo simulation
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Teste de avaliação
60%
Trabalho de avaliação
40%
Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
- Semestral
- The Data Science for Finance curricular unit allows you to apply a set of data science techniques to the financial sector, including statistical analysis and data modeling. The aim is to develop knowledge in financial data analysis, with support for Python, apply statistical and machine learning methods to financial problems, and interpret analytical results.
